£50.69

Python for Data Engineering Build Scalable Data Pipelines, Analytics, and Automation (Data Engineering Domain For professional)

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Description

Data Engineering is at the core of today’s data-driven world. From analytics and dashboards to machine learning and AI systems, reliable data pipelines power every modern organization. Python has become the most widely used programming language for data engineers due to its simplicity, flexibility, and powerful ecosystem. Python for Data Engineering is a comprehensive, practical, and job-oriented guide designed to help readers learn how Python is used in real-world data engineering projects. This book focuses not only on how to write code, but also on why specific approaches, tools, and best practices are used in production systems. Unlike purely theoretical books, this guide takes a hands-on approach. Each chapter is structured to build strong fundamentals while gradually introducing real industry use cases such as data ingestion, validation, transformation, analysis, and automation. The content is suitable for both beginners and working professionals who want to strengthen their data engineering skills using Python. What You Will Learn Python fundamentals for data engineering workflows Data analysis and manipulation using Pandas and NumPy Data visualization techniques for insights and reporting SQL and database integration with Python API and web data ingestion using Python Data quality checks and validation techniques Building reliable and maintainable data pipelines Industry best practices used by professional data engineers Who This Book Is For Aspiring Data Engineers and Data Analysts Computer science and engineering students Working professionals transitioning into data roles Python developers entering the data domain Anyone preparing for data engineering interviews No prior data engineering experience is required. Basic Python knowledge is helpful but not mandatory, as concepts are explained clearly and progressively. Whether you are learning data engineering for the first time, preparing for interviews, or looking to apply Python effectively in real projects, this book provides a strong foundation and practical guidance to help you succeed.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 February 2026
Listed Since
07 February 2026

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